AIMC Topic: Gastroparesis

Clear Filters Showing 1 to 3 of 3 articles

Establishment of a machine learning-based predictive model with dual-center external validation: investigating the role of robotic surgery in preventing delayed gastric emptying for right-sided colon cancer.

Journal of robotic surgery
After colorectal surgery, delayed gastric emptying (DGE) is a clinically significant postoperative complication that significantly lowers patients' quality of life. The evolving application of robotic surgery in gastrointestinal oncology continues to...

Predicting Response to Neuromodulators or Prokinetics in Patients With Suspected Gastroparesis Using Machine Learning: The "BMI, Infectious Prodrome, Delayed GES, and No Diabetes" Model.

Clinical and translational gastroenterology
INTRODUCTION: Pharmacologic therapies for symptoms of gastroparesis (GP) have limited efficacy, and it is difficult to predict which patients will respond. In this study, we implemented a machine learning model to predict the response to prokinetics ...

[Effects of Electroacupuncture on Ultrastructure of Interstitial Cells of Cajal and Stem Cell Factor-kit Signal Pathway of Gastric Antrum in Diabetic Gastroparesis Rats].

Zhen ci yan jiu = Acupuncture research
OBJECTIVE: To observe the effects of electroacupuncture (EA) on gastrointestinal motility and the ultrastructure of interstitial cells of Cajal (ICC) and the expressions of c-kit receptor protein and stem cell factor (SCF) mRNA in diabetic gastropare...